Here's an amazing book for people who want to get started with - Artificial Intelligence in Game Playing.

http://gameaibook.org/book.pdf

Lingvo: A TensorFlow Framework for Sequence Modeling

Release from #GoogleAI: general #tensorflow framework for #NLP.

#Lingvo is a deep learning framework used for sequence modeling tasks like machine translation, speech recognition, and speech synthesis.

Link: https://medium.com/tensorflow/lingvo-a-tensorflow-framework-for-sequence-modeling-8b1d6ffba5bb
Github: https://github.com/tensorflow/lingvo

Alexa, call the police! Smart assistants should come with a moral AI to decide whether to report their owners for breaking the law
https://dailym.ai/2VfI19K

Artificial Intelligence in the Military — An Overview of Capabilities
http://bit.ly/2EuqRzL

Data Versioning
http://bit.ly/2VjpY2F

Cool-Fashion-Papers: Cool resources about Fashion + AI
http://bit.ly/2VavBjA

Essential NLP Tools, Code, and Tips
http://bit.ly/2EtsqxG

Causal disentanglement is the next frontier in AI
http://bit.ly/2EureKF

Money Machines. An Interview with an Anonymous Algorithmic Trader
http://bit.ly/2EuBL8O

It is a Record-Breaking Crowd! A Tutorial to Build your First Crowd Counting Model using Deep Learning
http://bit.ly/2VfIVTG

A data scientist relationship with building predictive models
http://bit.ly/2Vk21Iz

Statistics with Python — What is Range, Variance & Standard Deviation?
http://bit.ly/2EtfZCj

Boom! What to read on the weekend, Issue #52

In China, the fight for AI supremacy starts with the young
https://s.nikkei.com/2Et4lHn

Artificial Intelligence diversity problem
http://bit.ly/2ErIXSP

Introduction to Deep Learning with flavor of NLP by Tokyo Institute of Technology
http://bit.ly/2Eu23rF

AI Safety Needs Social Scientists
http://bit.ly/2Vfn279

Why a data scientist warns against always trusting AI scientific discoveries
http://bit.ly/2ErJJzd

Reinforcement learning and optimal control
http://bit.ly/2ErKf07

Top 10 Machine Learning Algorithms For Beginners
http://bit.ly/2EsQykk

Statistics How To: Hypothesis Testing
http://bit.ly/2EsQUra

A Guide to Analyzing (American) Political Data in R
http://bit.ly/2Et1DSe

What can happen when AI decides on your loan request
http://bit.ly/2Vgjmln

Natural Language Processing Tutorial for Deep Learning Researchers using Tensorflow and Pytorch

Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)

​​Large-Scale Object Mining for Object Discovery from Unlabeled Video

Paper about process of object discovery.

Link: https://arxiv.org/abs/1903.00362

#Video #DL #CV

China’s Tech Firms Are Mapping Pig Faces
https://nyti.ms/2VAbfAy

Derisking machine learning and artificial intelligence
https://mck.co/2ELnnZN

A Data Cleaner`s Cookbook
http://bit.ly/2EKyi60

General Assembly's Data Science course in Washington DC
http://bit.ly/2VxZWIT

The Markov-chain Monte Carlo Interactive Gallery. A collection of javascript implementations of interesting MCMC algorithms
http://bit.ly/2VzH0JI

Next decade of technologies and fields by interpretation of Business insider:

1 #AI
2 #IoT⌚️
3 #blockchain ⛓
4 3D print 🖨
5 mobile📱
6 autonomous cars 🚗
7 mobile internet 💻
8 robotics🤖
9 VR/AR 👓
10 wireless power🔌
11 quantum computing 🖥
12 5G 📡
13 voice assistant🎙
14 cybersecurity🔒 #MWC19

Video is credited from Tech Insider 👇

Natural Language Processing Tutorial for Deep Learning Researchers using Tensorflow and Pytorch

Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines)

Now introducing Chrome extension that makes it easy to find code when browsing arxiv.org or Google Scholar:

Really short and brief, yet useful #tutorial on #PyTorch #transferlearning

Transfer learning is a concept of using network trained for a certain task for another one.

Link: https://medium.com/@iamHarin17/transfer-learning-in-pytorch-f7736598b1ed

#DL #novice #entrylevel #beginner

Time series basics

Time series — data, with points having timestamps. Some might think that #timeseries are mostly used in algorithmic trading, but they often used in malware detection, network data analysis or any other field, dealing with some flow of time-labeled data. These two resources provide deep and easy #introduction into #TS analysis.

Github: https://github.com/akshaykapoor347/Time-series-modeling-basics
Data Camp presentation: https://s3.amazonaws.com/assets.datacamp.com/production/course_5702/slides/chapter3.pdf

#beginner #novice #python #entrylevel

​​Open AI releasing MMO.

Spoiler: it is not MMORPG. It is Massively Multiagent Mame environment for reinforcement learning agents. It will allow to develop something what for #trueAI will be like an amoeba to human. But it’s live now.

Link: https://blog.openai.com/neural-mmo/
Github: https://github.com/openai/neural-mmo
3DClient github: https://github.com/jsuarez5341/neural-mmo-client

#OpenAI

By Jupyter--Is This the Future of Open Science?
--> kutt.it/wi1wCM

Say hello to the Developer Release of MainframeOS! 👩‍💻 💪🔥 Get all the details on the blog, and be sure to check out our documentation before diving in. And let us know what you build with Mainframe! https://blog.mainframe.com/mainframe-os-launch-2019-71689d0c5ec #blockchain #crypto #crryptocurrency $MFT

#education #school : Начался набор в международную летнюю школу по машинному обучению: “Machine Learning Summer School” (MLSS)
В этот раз школа пройдет в Москве на территории Skoltech (Сколково)
Даты летней школы: 26 (понедельник) августа 2019 - 6 (пятница) сентября 2019
Подачи заявок: до 6 (понедельник) мая 2019
Место: Skoltech, Сколково, Москва
Язык обучения - английский

Основная аудитория: аспиранты. но рассматривают как мастеров так и окончивших образование
Сборы: 400/550/1000 евро для студентов/постдоков и преподавателей/остальных (в том числе работающих в индустрии)
Возможны спонсорское стипендиальное покрытие (полное или частичное (25%))
Организаторы: Фернандо Перес Круз, Евгений Бурнаев, Родриго Ривера Кастро

Предварительные темы:
Kernels - Arthur Gretton
Fairness & Interpretability - Isabel Valera
Causality - Joris Mooij
3D Deep Learning - Justin Solomon
Optimal Transport - Marco Cuturi
To be confirmed - Mark Girolami
Graph Neural Networks - Michael Bronstein
ML for Magnetic Resonance Imaging - Michel Besserve
Online Learning - Nicolò Cesa-Bianchi
Reinforcement Learning - Shimon Whiteson
Topological Data Analysis - Ulrich Bauer
Bayesian Deep Learning - Yarin Gal

Сайт школы: http://xxtt.ru/mlss2019

Octagon as positions marker. A.I drones circling in sync protecting/detecting/autonomous. Everything cubed in box with multiples possible usages.